Lika Kapustina
- Research Assistant:International laboratory for Applied Network Research
- Visiting Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Lika Kapustina has been at HSE University since 2022.
Responsibilities
- Under the guidance of the responsible executor, carry out scientific developments in separate sections (stages, tasks) of the topic in accordance with approved methods;
- Collect, process, analyze and summarize scientific information, advanced domestic and foreign experience;
- Compile reports (sections of the report) on a topic or its section (stage, task);
- Fulfill other orders and instructions of the employer.
Continuing education / Professional retraining / Internships / Study abroad experience
Schools:
- Data Science Summer School Hertie School Data Science Lab, 9.07 - 30.07.2021 (online);
- XI VCIOM Winter Sociological School "Modern Researcher: Communications, Analytics and Big Data Analysis, Consulting", 30.03 - 3.04.2022;
- Spring School of European University in Saint-Peterburg Faculty of the Political Science "Methodological Challenges and Perspectives of the Modern Political Research", 7.05 - 8.05.2023;
- Summer Methodological School "Political Atlas of the Modern World 2.0", 2.07-8.07.2023;
- Summer School of the International Laboratory for Applied Network Research "Methods and tools for social network analysis", 04.07 - 08.07.2023 (online).
- IX Interdisciplinary School of Institute of the Rule of Law EU SPB "Empirical legal studies: from idea to paper in 5 days" (5.02-11.02.2024).
Awards and Accomplishments
Winner of the Single Track "Master's-PhD" competition of the National Research University Higher School of Economics, Postgraduate School of Political Science (2023);
Recipient of the Advanced State Academic Scholarship (ПГАС) in Public Activity, 1st Degree (2023);
Winner of the Competition of Research Works of Students of the National Research University Higher School of Economics (НИРС), "Political Science", category "Works of master students and graduates", 2nd place (2023).
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2024)
Courses (2023/2024)
- Basics of Programming in Python (Bachelor’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Data collection from Web-scraping and API for social scientific research (Bachelor’s programme; Faculty of Social Sciences; 4 year, 3 module)Rus
- Programming in R and Python (Master’s programme; Faculty of Social Sciences; 1 year, 1 module)Eng
Publications2
- Article Мальцева Д. В., Павлова И. А., Капустина Л. В., Ващенко В. А., Фиала Д. Сравнительный анализ возможностей WoS и eLibrary для анализа библиографических сетей // Социология: методология, методы, математическое моделирование. 2023. № 55. С. 1-33. (in press)
- Article Мальцева Д. В., Ващенко В. А., Капустина Л. В. Методология обработки библиографических данных на русском языке для построения сетей коллаборации (на примере базы данных eLibrary) // Социология: методология, методы, математическое моделирование. 2022. № 54-55. С. 45-78. doi
Employment history
2022 - present time.
International Laboratory for Applied Network Research, Research Assistant;
2022 - 2023 г.
VCIOM, analyst;
National Research University Higher School of Economics, course assistant on course "Advanced Methods of Data Analysis and Visualization in Python", Bachelor's Programme in Political Science.
National Research University Higher School of Economics, course assistant on course «Python Basic», Master's Programme «Master of Data Science»;
National Research University Higher School of Economics, course assistant on course «Basics of Data Analysis in International Relations», Bachelor's Programme in International Relations;
National Research University Higher School of Economics, course assistant on course «Data Analysis», Bachelor's Programme "Journalism";
National Research University Higher School of Economics, technical assistant for Data Analysis courses «Data Culture» project, Faculty of the Computer Science.
2021-2022 г.
National Research University Higher School of Economics, course assistant on course «Basics of Programming in Python», Bachelor's Programme in Political Science;
National Research University Higher School of Economics, course assistant on online-course «Statistics for Data Analysis»;
2020-2021 г.
National Research University Higher School of Economics, course assistant on course «Categories of the Political Science», Bachelor's Programme in Political Science.
Daria Maltseva at the 'Neighbors in Research' conference
Head of ANR-Lab Daria Maltseva took part in the scientific conference 'Neighbors in Research,' which took place on April 5 at the HSE University campus in Perm.
ANR-Lab team member and MASNA teacher – recipient of an increased state scholarship
Lika Kapustina won an advanced state academic scholarship of 1st degree in the 'Public Activities' category.
The Bib-eLib program for collecting and processing data in Russian from the eLibrary is registered as RIA
Team of the International Laboratory for Applied Network Research registered the Bib-eLib Program for collecting and processing bibliographic data in Russian from the eLibrary electronic library as a result of intellectual activity (RIA).
The RSF project 'Patterns of Collaboration in the Russian Sociological Community' has been completed
Experts from the Russian Science Foundation recognized the project 'Collaboration Patterns in the Russian Sociological Community: The Structure of Scientific Schools and Possible Points of Growth' as successfully completed.
Achievements of ANR-Lab team
Young ANR-Lab researchers have achieved high results in the field of educational, scientific and teaching activities.
‘This Summer School Made Me Realise How Important Data Analytics Actually Is Nowadays’
From July 4–8, the 14th Summer School ‘Methods and Tools for Analysing Social Networks’ was held by the International Laboratory for Applied Network Research (ANR Lab). The dissemination of knowledge about the most recent methods of network analysis is one of the goals of the laboratory. Social network analysis is an interdisciplinary field that studies networks of interactions between different objects (such as people, organisations, institutions, countries, words in texts, texts on the internet) and identifying hidden patterns within them.
How the 14th ANR-Lab Summer School 'Methods and Tools for Analyzing Social Networks' went
On July 8, the Summer School 'Methods and Tools for Analyzing Social Networks' ended. We present you a brief overview of the events that the ANR-Lab team held as part of the 14th Summer School.
ANR-Lab research assistants successfully defended their Undergraduate theses
The research assistants of the laboratory defended the final qualifying works (theses) for the Bachelor of the educational programs "Political Science" (Lika Kapustina) and "Sociology" (Arsen Khabibullin, Daniil Khomchenko, Vasilisa Vashchenko and Anna Pishchikova). We congratulate our research assistantss and decided to share some information about their works.
MASNA Online Workshop 'How to analyze a network of your friends with social network analysis' on May 26
MASNA, the online master's programme ‘Applied Statistics with Network Analysis’, has held the workshop ‘How to analyze a network of your friends with social network analysis’.
ANR-lab on HSE Faculty of Social Sciences birthday, April 22
On April 22, the birthday of the Faculty of Social Sciences took place, in which the ANR-lab took part.
ANR-Lab Roundtable at the Yasin conference
On April 11, within the framework of the XXIV Yasin (April) international scientific conference on the problems of the development of the economy and society, a Roundtable ANR-Lab 'Theory and application of network analysis' was held. Laboratory staff and external speakers made presentations.